This research aims to develop an Indonesian news text classification system to distinguish between formal and non-formal texts. This classification system utilises the Long Short-Term Memory (LSTM) algorithm with reference to the Big Indonesian Dictionary (KBBI). The development process involves text preprocessing techniques, such as data cleaning, lower case, remove punctuation, tokenising, st…